Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study

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Publication Details

Journal
The Lancet Healthy Longevity
Published
2024-09-30
DOI
https://doi.org/10.1016/s2666-7568(24)00089-8
Citations
34
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
13.75

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article

Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study

Simon Nusinovici, Zhuoting Zhu, Ten Cheer Quek, Charumathi Sabanayagam et al.
34 citations
The Lancet Healthy Longevity
Retinal Imaging and Analysis
13.75
article

Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study

Simon Nusinovici, Zhuoting Zhu, Ten Cheer Quek, Charumathi Sabanayagam, Can Can Xue, Ching‐Yu Cheng, Geunyoung Lee, Mihir Deshmukh, Marco Yu, Hengtong Li, Tyler Hyungtaek Rim, Tien Yin Wong, Crystal Chun Yuen Chong, Yih Chung Tham, Emily Y. Chew, Qingsheng Peng
article en
34 citations

Abstract

No abstract available for this paper.
The Lancet Healthy LongevityVol. 5(10)
National Institutes of Health (US), Singapore National Eye Center (SG), Centre for Eye Research Australia (AU), Singapore Eye Research Institute (SG), Duke-NUS Medical School (SG), National Eye Institute (US), Guangdong Academy of Medical Sciences (CN)
Agency for Science, Technology and Research, Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, Medical Research Council, National Medical Research Council
Good health and well-being
Openalex Percentile: Top 1%
Retinal Imaging and Analysis
13.75
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